Mithun Khattar
Impact in
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
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- CAR-T cell therapy research
Papers in
- Immunology 15
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 9
- Oncology 7
- CAR-T cell therapy research 5
- HER2/EGFR in Cancer Research 2
- Co-authors
- Stanislaw M. Stepkowski (15 shared papers)Wenhao Chen (12 shared papers)Yoshihiro Miyahara (7 shared papers)Zhiyong Guo (4 shared papers)Guohua Wang (3 shared papers)Paul M. Schroder (11 shared papers)Ronghai Deng (3 shared papers)Lynne P. Rutzky (1 shared paper)
- Journals
- PLoS ONE (3 papers)The Journal of Immunology (3 papers)Cancer Research (3 papers)Transplantation (3 papers)Immunology Letters (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Mithun Khattar
22 papers receiving 286 citations
Peers
Comparison fields: 5 of 55
- Immunology 151
- Oncology 49
- Transplantation 4
- Genetics 38
- Aging 2
Countries citing papers authored by Mithun Khattar
This map shows the geographic impact of Mithun Khattar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mithun Khattar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mithun Khattar more than expected).
Fields of papers citing papers by Mithun Khattar
This network shows the impact of papers produced by Mithun Khattar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mithun Khattar. The network helps show where Mithun Khattar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mithun Khattar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 105 | |
| 2 | 2009 | 30 | |
| 3 | 2013 | 22 | |
| 4 | 2013 | 20 | |
| 5 | 2010 | 20 | |
| 6 | 2012 | 18 | |
| 7 | 2014 | 13 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 8 | |
| 10 | 2025 | 6 | |
| 11 | 2010 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2013 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2021 | 1 |
About Mithun Khattar
Mithun Khattar is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 22 papers that have together received 290 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (5 papers), Diabetes and associated disorders (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Research and Treatments (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Immunology (151 citations), Oncology (49 citations), Transplantation (4 citations), Genetics (38 citations) and Aging (2 citations). Mithun Khattar has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Stanislaw M. Stepkowski, Wenhao Chen, Yoshihiro Miyahara, Zhiyong Guo, Guohua Wang, Paul M. Schroder, Ronghai Deng, Lynne P. Rutzky, Guohua Wang and Barry D. Kahan. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Cancer Research, Transplantation and Immunology Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.